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2020 – today
- 2024
[j1]Haolun Wu
, Yansen Zhang, Chen Ma, Fuyuan Lyu, Bowei He, Bhaskar Mitra, Xue Liu:
Result Diversification in Search and Recommendation: A Survey. IEEE Trans. Knowl. Data Eng. 36(10): 5354-5373 (2024)- [c10]Yunpeng Weng, Xing Tang, Zhenhao Xu, Fuyuan Lyu, Dugang Liu, Zexu Sun, Xiuqiang He:
OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction. CIKM 2024: 2523-2533 - [c9]Qiyuan Zhang, Fuyuan Lyu, Xue Liu, Chen Ma:
Collaborative Performance Prediction for Large Language Models. EMNLP 2024: 2576-2596 - [c8]Xing Tang, Yang Qiao, Fuyuan Lyu, Dugang Liu, Xiuqiang He:
Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation. RecSys 2024: 329-339 - [c7]Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao:
MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems. WSDM 2024: 434-442 - [i18]Tom Tianze Yang, Tim Tianyi Yang, Shaoshan Liu, Fuyuan Lyu, Xue Liu:
ICE-SEARCH: A Language Model-Driven Feature Selection Approach. CoRR abs/2402.18609 (2024) - [i17]Xing Tang, Yang Qiao, Fuyuan Lyu, Dugang Liu, Xiuqiang He:
Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation. CoRR abs/2403.17442 (2024) - [i16]Shaoxiang Qin, Fuyuan Lyu, Wenhui Peng, Dingyang Geng, Ju Wang, Naiping Gao, Xue Liu, Liangzhu Leon Wang:
Toward a Better Understanding of Fourier Neural Operators: Analysis and Improvement from a Spectral Perspective. CoRR abs/2404.07200 (2024) - [i15]Qiyuan Zhang, Fuyuan Lyu, Xue Liu, Chen Ma:
Collaborative Performance Prediction for Large Language Models. CoRR abs/2407.01300 (2024) - [i14]Yunpeng Weng, Xing Tang, Zhenhao Xu, Fuyuan Lyu, Dugang Liu, Zexu Sun, Xiuqiang He:
OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction. CoRR abs/2408.08585 (2024) - [i13]Shiwei Li, Zhuoqi Hu, Fuyuan Lyu, Xing Tang, Haozhao Wang, Shijie Xu, Weihong Luo, Yuhua Li, Xue Liu, Xiuqiang He, Ruixuan Li:
Mixed-Precision Embeddings for Large-Scale Recommendation Models. CoRR abs/2409.20305 (2024) - [i12]Qiyuan Zhang, Yufei Wang, Tiezheng Yu, Yuxin Jiang, Chuhan Wu, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma:
RevisEval: Improving LLM-as-a-Judge via Response-Adapted References. CoRR abs/2410.05193 (2024) - 2023
- [c6]Dugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, Xiuqiang He:
Explicit Feature Interaction-aware Uplift Network for Online Marketing. KDD 2023: 4507-4515 - [c5]Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue (Steve) Liu:
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network. NeurIPS 2023 - [c4]Xing Tang, Yang Qiao, Yuwen Fu, Fuyuan Lyu, Dugang Liu, Xiuqiang He:
OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction. ECML/PKDD (6) 2023: 567-584 - [c3]Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu:
Optimizing Feature Set for Click-Through Rate Prediction. WWW 2023: 3386-3395 - [i11]Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu:
Optimizing Feature Set for Click-Through Rate Prediction. CoRR abs/2301.10909 (2023) - [i10]Fuyuan Lyu, Xing Tang, Dugang Liu, Haolun Wu, Chen Ma, Xiuqiang He, Xue Liu:
Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives. CoRR abs/2302.02241 (2023) - [i9]Dugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, Xiuqiang He:
Explicit Feature Interaction-aware Uplift Network for Online Marketing. CoRR abs/2306.00315 (2023) - [i8]Xing Tang, Yang Qiao, Yuwen Fu, Fuyuan Lyu, Dugang Liu, Xiuqiang He:
OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction. CoRR abs/2306.13382 (2023) - [i7]Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue Liu:
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network. CoRR abs/2310.15342 (2023) - [i6]Fuyuan Lyu, Yaochen Hu, Xing Tang, Yingxue Zhang, Ruiming Tang, Xue Liu:
Towards Automated Negative Sampling in Implicit Recommendation. CoRR abs/2311.03526 (2023) - 2022
- [c2]Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu:
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. CIKM 2022: 1399-1409 - [c1]Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu:
Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction. ICDE 2022: 1450-1462 - [i5]Yuecai Zhu, Fuyuan Lyu, Chengming Hu, Xi Chen, Xue Liu:
Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey. CoRR abs/2203.10480 (2022) - [i4]Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu:
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. CoRR abs/2208.04482 (2022) - [i3]Haolun Wu, Yansen Zhang, Chen Ma, Fuyuan Lyu, Fernando Diaz, Xue Liu:
A Survey of Diversification Techniques in Search and Recommendation. CoRR abs/2212.14464 (2022) - 2021
- [i2]Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu:
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction. CoRR abs/2108.01265 (2021) - 2020
- [i1]Fuyuan Lyu, Shien Zhu, Weichen Liu:
Cross-filter compression for CNN inference acceleration. CoRR abs/2005.09034 (2020)
Coauthor Index
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